Artificial Intelligence in Cybersecurity Market Size, Share with Focus on Emerging Technologies, Top Countries Data, Top Key Players Update, and Forecast 2028
The global AI in Cybersecurity Market is projected to grow from USD 22.4 billion in 2023 to USD 60.6 billion by 2028, at a CAGR of 21.9% during the forecast period. The market’s upward trajectory is driven by pivotal factors, notably the widespread integration of the Internet of Things (IoT) and the escalating proliferation of connected devices. Moreover, the surge in cyber threats, coupled with heightened concerns regarding data protection and the increased susceptibility of Wi-Fi networks to security breaches, contributes significantly to the market’s expansion. In terms of opportunities, there is a visible demand for cloud-based security solutions among Small and Medium Enterprises (SMEs), and the growing reliance on social media for business operations presents promising prospects for the integration of Artificial Intelligence (AI) in the cybersecurity landscape. Conversely, substantial constraints hinder market dynamics, encompassing AI’s inherent limitations in effectively mitigating zero-day and advanced threats, along with a notable rise in insider cyber threats. Key challenges include the scarcity of proficient cybersecurity and AI professionals, interoperability issues with existing information systems, and inherent shortcomings within AI technologies in the cybersecurity domain.
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Software segment to account for the largest market size during the forecast period.
Based on the offering segment, software is anticipated to hold the largest market size during the forecast period. Computer systems rely on integrated software to execute intricate operations, synthesizing data from hardware and processing it through AI systems for intelligent responses. The rise of AI in the cybersecurity software market is driven by a surge in security breaches targeting business applications, where hackers aim to access sensitive data. Stricter data privacy policies and regulations contribute to the increasing demand for AI-based cybersecurity solutions, addressing challenges posed by evolving cyber threats. The adoption of cybersecurity solutions is further propelled by the widespread use of connected devices, the BYOD trend in organizations, and the global increase in internet usage, all aimed at mitigating potential risks.
Managed service to account for higher CAGR during the forecast period.
Based on the services, managed services are anticipated to hold the highest CAGR during the forecast period. Managed services are significantly shaping AI in cybersecurity, fostering a proactive defense landscape. AI algorithms in these services enhance real-time threat detection, automating incident responses for swift mitigation. Resource allocation is optimized through AI automation, allowing cybersecurity teams to focus on strategic initiatives. Continuous monitoring and adaptive security measures provide comprehensive coverage against evolving cyber threats. AI-powered risk management analyzes vast datasets, fortifying organizations against potential vulnerabilities. Scalability, flexibility, and predictive analytics empower organizations to anticipate and respond effectively to cyber threats. The strategic insights from AI facilitate informed decision-making, contributing to cost-effective and efficient cybersecurity operations.
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Unique Features in the Artificial Intelligence in Cybersecurity Market
Behavioural analysis is used by AI-driven cybersecurity solutions to create baseline behaviour for individuals, devices, and networks. When these baselines are departed from, possible hazards may be warned about.
Large-scale datasets are analysed by machine learning algorithms to find trends and abnormalities that point to potential security risks. This makes it possible to identify threats early on and adjust to new assault methods.
AI cybersecurity models that use predictive analytics to estimate potential security risks from historical data allow organisations to take proactive measures to patch vulnerabilities before they are exploited.
Artificial intelligence (AI)-powered autonomous response systems can reduce the time between discovery and reaction by autonomously taking action to contain or mitigate cyber threats in real-time.
By enabling AI systems to comprehend and interpret human language, natural language processing (NLP) makes it easier to analyse unstructured data, including threat intelligence, security reports, and user behaviour.
Major Highlights of the Artificial Intelligence in Cybersecurity Market
Businesses have been adopting AI-driven threat detection solutions more and more, using machine learning algorithms to detect and address cyberattacks more successfully than they could with conventional techniques.
With the rise in popularity of AI-powered behavioural analytics, cybersecurity systems are now able to identify advanced persistent threats (APTs) and insider risks by spotting abnormalities in user and network behaviour.
The proactive detection of malware, ransomware, and other endpoint threats was made possible by the widespread use of machine learning in endpoint security solutions.
Artificial intelligence (AI)-powered autonomous response systems proliferated, enabling automated responses to cybersecurity events. This lessened the impact of attacks and sped up response times for organisations.
Threat intelligence solutions now include artificial intelligence (AI), which enhances the analysis and classification of threat data. This improved security experts’ cooperation and exchange of threat intelligence.
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Top Key Companies in the Artificial Intelligence in Cybersecurity Market
Key players operating in the AI in Cybersecurity market across the globe are NVIDIA (US), Intel (US), Xilinx Inc. (US), Samsung Electronics Co., Ltd (South Korea), Micron Technology, Inc. (US), IBM Corporation (US), Amazon Web Services, Inc. (US), Microsoft (US), Palo Alto Networks Inc. (US), Trellix (US), CrowdStrike (US), NortonLifeLock (US), Cylance Inc. (US), ThreatMetrix Inc. (US), Securonix Inc. (US), Sift Science (US), Acalvio Technologies (US), Darktrace (UK), SparkCognition Inc. (US), Fortinet (US), Check Point Software Technologies, Ltd (US), High-Tech Bridge (Switzerland), Deep Instinct (US), SentinelOne (US), Feedzai (US), Vectra (US) Zimperium (US), Argus Cyber Security (Israel), Nozomi Networks (US), BitSight Technologies (US), and Antivirus companies such as Kaspersky Lab (Russia), Bitdefender (Romania), and ESET (US). These AI in Cybersecurity vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the global market.
NVIDIA, originally focused on PC graphics, has evolved into a key player in GPU development, delivering value across PC, mobile, and cloud architectures. The company’s emphasis has shifted towards machine learning and diverse AI technologies. Its operations are structured into two main segments: Graphics and Compute & Networking. In the Graphics segment, NVIDIA offers a range of products, including GeForce, Quadro, GeForce NOW, Tesla, and GRID, catering to visual computing in applications such as PC gaming, computer-aided design, and video editing. Professional visualization is addressed through innovations like Quadro Virtual Data Center Workstation, Project Holodeck, and NVIDIA Optix 5.0. The Compute & Networking segment provides Tegra, DRIVE PX, and SHIELD products. Tegra processors, designed for high performance, power DRIVE and SHIELD platforms. DRIVE PX processors are instrumental in automotive computers for self-driving capabilities, while SHIELD processors find applications in mobile cloud gaming. NVIDIA strategically targets gaming, professional visualization, data centre, and automotive markets. With a global presence spanning more than 40 offices across the Americas, Asia, and Europe, the company extends its reach through subsidiaries like ADEIA Technologies Switzerland AG, Icera Canada ULC, NVIDIA Brasil Computação Visual Limitada, NVIDIA Development UK Limited, NVIDIA Entertainment Devices Co., Ltd., NVIDIA Graphics Private Limited, and NVIDIA GmbH.
CrowdStrike operates as a leading provider of endpoint security solutions, anchored by its platform, CrowdStrike Falcon. This cloud-native endpoint protection platform integrates antivirus, threat intelligence, endpoint detection and response (EDR), device control, threat hunting, IT hygiene products, incident response, and proactive services. With a SaaS subscription-based model, CrowdStrike Falcon incorporates 22 cloud modules, catering to markets such as corporate workload security, security and vulnerability management, managed security services, IT operations management, threat intelligence services, identity protection, and log management. Revenue for CrowdStrike is categorized into two segments: Subscription and Professional Services. Subscription revenue is derived from Falcon platform fees and additional cloud modules, driven by factors like the number of subscription customers, endpoints per customer, and included cloud modules. On the other hand, Professional Services revenue encompasses incident response, proactive services, forensic and malware analysis, and attribution analysis. CrowdStrike serves diverse sectors, including public and retail, healthcare, and financial industries. The company’s comprehensive approach to endpoint security positions it as a key player in the rapidly evolving landscape of cybersecurity.
Intel is a global technology company specializing in the design and manufacturing of products powering the cloud and connected world. It supplies computers, networking, and communication platforms to OEMs, ODMs, cloud providers, and various industries. With business segments like Client Computing, Data Center, IoT, Memory Solutions, Programmable Solutions, and Others, Intel covers a broad spectrum of markets. In the Internet of Things Group (IOTG), Intel holds a robust position, offering components and software for diverse IoT segments like retail, transportation, industrial, and smart cities. The company’s expansion in cloud, data center, IoT, memory, and FPGA contributes to overall growth. Intel is strategically positioned in the AI landscape, reinforced by acquisitions like Saffron Technologies and Nervana Systems. The Intel Nervana AI Academy fosters AI accessibility through data, tools, and training initiatives. With a presence in over 63 countries and consumers in 120 countries, Intel continues to drive innovation and connectivity globally. Key subsidiaries include Intel Americas, Intel Asia Holding, Intel (UK), Intel Israel Holdings, Intel Kabushiki Kaisha, Intel Mobile Communications, and Intel Semiconductor (Dalian).
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